Bonus, Bonus) Google Colab offers free hosted jupyter notebooks with shared access to a K80 and Google Drive like sync. https://colab.research.google.com/
Kyso also offers free hosted jupyter notebooks, as well as access to free jupyterlab environments in the cloud. We render your notebooks as rich blog-posts. Feel free to check it out!: https://kyso.io
AWS also recently released a product called AWS SageMaker which is a hosted notebook environment [0]. I haven't been able to find any good tutorials on it unfortunately. They claim you can go from data, to notebook, to model, to production all within the AWS ecosystem integrating with tools like AWS ETL/Glue/S3/etc.
1) 16 notebooks from the book "Python Machine Learning" by Raschka & Mirjalili https://github.com/rasbt/python-machine-learning-book-2nd-ed...
2) Linear Regression, Logistic Regression, Random Forests, and k-Means Clustering notebooks by Nitin Borwankar https://github.com/nborwankar/LearnDataScience
3) scikit-learn tutorial notebooks by Jake VanderPlas https://github.com/jakevdp/sklearn_tutorial
4) Lots of deep learning notebooks from the book "Deep Learning with Python" by François Chollet https://github.com/fchollet/deep-learning-with-python-notebo...
Bonus) Jupyter notebook on AWS tutorial (when your local computer just won't handle your notebook requirements): http://efavdb.com/deep-learning-with-jupyter-on-aws/
Please share your jupyter notebook recommendations.